Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mahesh B. Keerthivasan"'
Autor:
Radhika Tibrewala, Tarun Dutt, Angela Tong, Luke Ginocchio, Riccardo Lattanzi, Mahesh B. Keerthivasan, Steven H. Baete, Sumit Chopra, Yvonne W. Lui, Daniel K. Sodickson, Hersh Chandarana, Patricia M. Johnson
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-9 (2024)
Abstract Magnetic resonance imaging (MRI) has experienced remarkable advancements in the integration of artificial intelligence (AI) for image acquisition and reconstruction. The availability of raw k-space data is crucial for training AI models in s
Externí odkaz:
https://doaj.org/article/ecf34d858c24409eb260e6fc114f54ee
Autor:
Angela Tong, Barun Bagga, Robert Petrocelli, Paul Smereka, Abhinav Vij, Kun Qian, Robert Grimm, Ali Kamen, Mahesh B Keerthivasan, Marcel Dominik Nickel, Heinrich von Busch, Hersh Chandarana
Publikováno v:
Journal of Magnetic Resonance Imaging.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be13508ff42c2fcb59626d225f93de8e
https://doi.org/10.1002/jmri.28602
https://doi.org/10.1002/jmri.28602
Publikováno v:
Investigative radiology. 58(1)
Magnetic resonance imaging (MRI) provides essential information for diagnosing and treating musculoskeletal disorders. Although most musculoskeletal MRI examinations are performed at 1.5 and 3.0 T, modern low-field MRI systems offer new opportunities
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff37178335b70589cef71f7f7cb15228
https://pubmed.ncbi.nlm.nih.gov/36165841
https://pubmed.ncbi.nlm.nih.gov/36165841
Autor:
Mahesh B Keerthivasan
Publikováno v:
Journal of magnetic resonance imaging : JMRIReferences.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db531586cc11762732ca6f861bb733dc
https://pubmed.ncbi.nlm.nih.gov/35969230
https://pubmed.ncbi.nlm.nih.gov/35969230
Autor:
Iman Khodarahmi, Inge M. Brinkmann, Dana J. Lin, Mary Bruno, Patricia M. Johnson, Florian Knoll, Mahesh B. Keerthivasan, Hersh Chandarana, Jan Fritz
Publikováno v:
Invest Radiol
OBJECTIVES: Despite significant progress, artifact-free visualization of the bone and soft tissues around hip arthroplasty implants remains an unmet clinical need. New-generation low-field magnetic resonance imaging (MRI) systems now include slice en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::834c9c89d0fa4a1fae968ee10f5ce5af
https://europepmc.org/articles/PMC9363001/
https://europepmc.org/articles/PMC9363001/
Autor:
Patricia M. Johnson, Angela Tong, Awani Donthireddy, Kira Melamud, Robert Petrocelli, Paul Smereka, Kun Qian, Mahesh B. Keerthivasan, Hersh Chandarana, Florian Knoll
Publikováno v:
J Magn Reson Imaging
BACKGROUND: Early diagnosis and treatment of prostate cancer (PCa) can be curative, however prostate specific antigen is a suboptimal screening test for clinically significant PCa. While prostate MRI has demonstrated value for the diagnosis of PCa, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e53358e9159f21bf5cf4e490e01f1991
https://europepmc.org/articles/PMC9170839/
https://europepmc.org/articles/PMC9170839/
Autor:
Sagar, Mandava, Mahesh B, Keerthivasan, Zhitao, Li, Diego R, Martin, Maria I, Altbach, Ali, Bilgin
Publikováno v:
Magn Reson Med
PURPOSE: A new reconstruction method for multi-contrast imaging and parameter mapping based on a union of local subspaces constraint is presented. THEORY: Subspace constrained reconstructions use a predetermined subspace to explicitly constrain the r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::354251fb6169b5272fe464ce746aa29d
https://pubmed.ncbi.nlm.nih.gov/30009531
https://pubmed.ncbi.nlm.nih.gov/30009531